Kaan Erkorkmaz, PEng (He/Him)

Kaan Erkorkmaz is a Professor in the Department of Mechanical and Mechatronics Engineering at the University of Waterloo. He is a Fellow of the International Academy for Production Engineering (CIRP) and also a Registered Professional Engineer in the Province of Ontario.

Professor Erkorkmaz’s research interests are in the areas of precision manufacturing, machining, and dynamics; controls, and optimal trajectory planning for machine tools; with the objective of increasing the productivity, part quality, and resource efficiency in manufacturing operations.

• Precision Engineering, Dynamics, Controls, Manufacturing, Mechatronics, Automotive, Advanced Robotics, Controls and Precision Tooling, Digital Factories, Digital Design and Fabrication Technologies, Embedded Systems, Sensors and Devices, Machining Automation, Additive Manufacturing, Advanced Manufacturing

• 2004, Doctorate, Mechanical Engineering, University of British Columbia, Canada
• 1999, Master's, Mechanical Engineering, University of British Columbia, Canada
• 1996, Master's (course requirements completed), Systems and Control Engineering, Bogazici University, Turkey
• 1995, Bachelor's Mechanical Engineering, Istanbul Technical University, Turkey

• 2022, ‘TUM Ambassador’, Technical University of Munich (honorary title)
• 2019-2020, August-Wilhelm Scheer and Global Visiting Professorships, IWB/Technical University of Munich
• 2016, Sandford Fleming Foundation Teaching Excellence Award
• 2013, Best Poster Paper, American Society for Precision Engineering Annual Meeting
• 2011, InnoLecture Visiting Professorship, ISW/University of Stuttgart
• 2008, Early Researcher Award, Ontario Ministry of Research and Innovation
• 2007, Outstanding Young Manufacturing Engineer Award, SME

• 2021-present, Technical Secretary, CIRP
• 2018-2024, Editorial Committee Member, CIRP (2018-2024)
• 2021-2024, Secretary, CIRP Scientific and Technical Committee on Machines (STC-M) (2021-2024)

• Fellow, CIRP (International Academy for Production Engineering)
• Member, ASME (American Society of Mechanical Engineers)
• Member, ASPE (American Society for Precision Engineering)
• Member, SME (Society of Manufacturing Engineers)

• ME 548 - Numerical Control of Machine Tools 1
  • Taught in 2020, 2021, 2022, 2023, 2024
• ME 780 - Special Topics in Mechatronics
  • Taught in 2021, 2023

* Only courses taught in the past 5 years are displayed.

• Schmucker B., Wang C.-P., Zaeh M.F., and Erkorkmaz K., Wide-bandwidth cutting force monitoring via motor current and accelerometer signals, CIRP Annals, Volume 72, 309-312, Germany, 2023.
• Bergs T., Biermann D., Erkorkmaz K., and M'Saoubi R., Digital twins for cutting processes, CIRP Annals, Volume 72, 541-567, Germany, 2023.
• Franco O., Beudaert X., Iglesias A., Dombovari Z., Erkorkmaz K., and Munoa J., Optimal cutting condition selection for high quality receptance measurements by sweep milling force excitation, International Journal of Machine Tools and Manufacture, Volume 127, Canada, 2022.
• Franco O., Beudaert X., Erkorkmaz K., and Munoa J., Influence of guideway friction on the cutting point receptance in machine tools, CIRP Annals, Volume 71, 361-364, Canada, 2022.
• Shirvani H.K., Zeng J.Q.C., and Erkorkmaz K., Dynamic compliance attenuation in ball screw drives through model-based active damping of multiple vibration modes, CIRP Annals, Volume 71, 373-376, Canada, 2022.
• Shirvani H.K., Hosseinkhani Y., and Erkorkmaz K., Suppression of harmonic positioning errors in ball-screw drives using Adaptive Feedforward Cancellation, Precision Engineering, Volume 68, 235-255, Canada, 2021.
• Azvar M., Katz A., Van Dorp J., and Erkorkmaz K., Chip geometry and cutting force prediction in gear hobbing, CIRP Annals, Volume 70, 95-98, Canada, 2021.
• Turhan M.H., Tseng G.W.G., Erkorkmaz K., and Fidan B., Dynamic model identification for CNC machine tool feed drives from in-process signals for virtual process planning, Mechatronics, Volume 72, Canada, 2020.
• Ertay D.S., Vlasea M., and Erkorkmaz K., Thermomechanical and geometry model for directed energy deposition with 2D/3D toolpaths, Additive Manufacturing, Volume 35, Canada, 2020.
• Franco O., Beudaert X., and Erkorkmaz K., Effect of rack and pinion feed drive control parameters on machine tool dynamics, Journal of Manufacturing and Materials Processing, Volume 4, Canada, 2020.

• Waterloo researchers awarded more than $51.2 million
• Researchers develop software to optimize gear cutting processes
• Prof honoured by technical university in Germany